Lothar Spies
Hamburg, HH 22335, Germany
Last Updated: 09/26/2026
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Found 33 publications
Easy-to-use and easy-to-interpret quality control of 3D gradient echo T1-weighted MR acquisition sequences for improved test-retest stability of MRI-based hippocampus volumetry.
Journal: Journal of Alzheimer's disease : JAD
Published: September 24, 2025
Clinical validation of artificial intelligence-based single-subject morphometry without normative reference database.
Journal: Journal of Alzheimer's disease : JAD
Published: January 13, 2025
Higher effect sizes for the detection of accelerated brain volume loss and disability progression in multiple sclerosis using deep-learning.
Journal: Computers in biology and medicine
Published: August 21, 2024
An Artificial Intelligence Algorithm Integrated into the Clinical Workflow Can Ensure High Quality Acute Intracranial Hemorrhage CT Diagnostic.
Journal: Clinical neuroradiology
Published: May 23, 2024
Patients with relapsing-remitting multiple sclerosis show accelerated whole brain volume and thalamic volume loss early in disease.
Journal: Neuroradiology
Published: January 18, 2024
BrainLossNet: a fast, accurate and robust method to estimate brain volume loss from longitudinal MRI.
Journal: International journal of computer assisted radiology and surgery
Published: December 20, 2023
Voxel-based morphometry in single subjects without a scanner-specific normal database using a convolutional neural network.
Journal: European radiology
Published: January 28, 2023
Automatic segmentation of the thalamus using a massively trained 3D convolutional neural network: higher sensitivity for the detection of reduced thalamus volume by improved inter-scanner stability.
Journal: European radiology
Published: March 30, 2022
Single-subject analysis of regional brain volumetric measures can be strongly influenced by the method for head size adjustment.
Journal: Neuroradiology
Published: January 18, 2022
Infratentorial lesions in multiple sclerosis patients: intra- and inter-rater variability in comparison to a fully automated segmentation using 3D convolutional neural networks.
Journal: European radiology
Published: June 28, 2021
Age-dependent cut-offs for pathological deep gray matter and thalamic volume loss using Jacobian integration.
Journal: NeuroImage. Clinical
Published: August 04, 2020
Last Updated: 09/26/2026